Energy-efficient cluster computing via accurateworkload characterization

2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID 2009

Volumn , Issue , 2009, Pages 68-75

  Huang, S ^a   Feng, W ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION PERFORMANCE; CLUSTER COMPUTER; CONTROL PERFORMANCE; ECO-FRIENDLY; ENERGY CONSUMPTION; ENERGY EFFICIENT; NAS PARALLEL BENCHMARKS; OFF-CHIP; POWER-AWARE; RUNTIMES; SUBSTANTIAL ENERGY; WORKLOAD CHARACTERIZATION;

CLUSTER COMPUTING; COMPUTER SCIENCE; ENERGY CONSERVATION; ENERGY EFFICIENCY;

GRID COMPUTING;

EID: 70349729829     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCGRID.2009.88     Document Type: Conference Paper

References (19)

1. K. W. Cameron, R. Ge, and X. Feng. Highperformance, power-aware distributed computing for scientific applications. In IEEE Computer, 2005.
2. R. Choi and M. Pedram. Fine-grained dynamic voltage and frequency scaling for precise energy and performance trade-off based on the ratio of off-chip access to onchip computation times. IEEE transactions on computer-aided design of integrated circuits and systems, 24(1), 2005.
3. M. Curtis-Maury, J. Dzierwa, C. D. Antonopoulos, and D. S. Nikolopoulos. Online power-performance adaptation of multithreaded programs using hardware event-based prediction. In International Conference on Supercomputing (ICS06), Queensland, Australia, June 2006.
4. J. Ebergen, J. Gainsley, and P. Cunningham. Transistor sizing: How to control the speed and energy consumption of a circuit. In the 10th International Symposium on Asynchronous Circuits and Systems, 2004.
5. W. Feng and C. Hsu. Green destiny and its evolving parts. In Innovative Supercomputer Architecture Award, International Supercomputer Conference, Heidelberg, Germany, 2004.
6. V. Freeh, D. Lowenthal, F. Pan, and N. Kappiah. Using multiple energy gears in MPI programs on a powerscalable cluster. In Principles and Practices of Parallel Programming (PPoPP), 2005.
7. R. Ge, X. Feng, W. Feng, and K. W. Cameron. CPU MISER: A performance-directed, run-time system for power-aware clusters. In International Conference on Parallel Processing, 2007 (ICPP07), 2007.
8. C. Hsu and W. Feng. A power-aware run-time system for high-performance computing. In Proceedings of the ACM/IEEE Supercomputing 2005 (SC05), 2005.
9. S. Huang and W. Feng. A workload-aware, eco-friendly daemon for cluster computing. Technical Report, Computer Science, Virginia Tech, 2008.
10. AMD Inc. BIOS and kernel developer's guide for AMD athlon 64 and AMD opteron processors. Feburary 2006.
11. M. Y. Lim, V. W. Freeh, and D. K. Lowenthal. Adaptive, transparent frequency and voltage scaling of communication phases in MPI programs. In Proceedings of the ACM/IEEE Supercomputing 2006 (SC06), 2006.
12. L. McVoy and C. Staelin. lmbench: portable tools for performance analysis. In Proceedings of the Annual Technical Conference on USENIX, 1996.
13. S. Mohapatra, R. Cornea, N. Dutt, A. Nicolau, and N. Venkatasubramanian. Integrated power management for video streaming to mobile handheld devices. In Proceedings of the 11th ACM International Conference, 2003.
14. V. Pallipadi and A. Starikovskiy. The ondemand governor-past, present, and future. Ottawa Linux Symposium Proceedings 2006.
15. P. Penzes, M. Nustrom, and A. Martin. Transistor sizing of energy-delay-efficient circuits. Technical Report. California Institute of Technology, 2002.
16. B. Roundtree, D. K. Lowenthal, S. H. Funk, V. W. Freeh, B. R. de Supinski, and M. Schulz. Adaptive, transparent frequency and voltage scaling of communication phases in MPI programs. In Proceedings of the ACM/IEEE Supercomputing 2007 (SC07), 2007.
17. C. Scott. Energy efficiency in the data center. 2007.
18. T. Tan, A. Raghunathan, and N. Jha. Software architectural transformations: A new approach to low energy embedded software. In Design, Automation and Test in Europe, 2003.
19. New York Times. Hiding in plain sight, google seeks more power. 2006.